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Fuzzy logic programming and adaptable design of medical products for the COVID-19 anti-epidemic normalization.

Computer methods and programs in biomedicine
BACKGROUND: The COVID-19 prevention and control constantly affects lives worldwide. In this paper, household medical products were analyzed using fuzzy logic. Considering the household anti-epidemic status, economic and environmental benefits, the ad...

A UWB-Based Lighter-Than-Air Indoor Robot for User-Centered Interactive Applications.

Sensors (Basel, Switzerland)
Features such as safety and longer flight times render lighter-than-air robots strong candidates for indoor navigation applications involving people. However, the existing interactive mobility solutions using such robots lack the capability to follow...

Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models.

Scientific reports
Detached off-grids, subject to the generated renewable energy (RE), need to balance and compensate the unstable power supply dependent on local source potential. Power quality (PQ) is a set of EU standards that state acceptable deviations in the para...

Prediction of fluid oil and gas volumes of shales with a deep learning model and its application to the Bakken and Marcellus shales.

Scientific reports
The fluid oil and gas volumes (S1) retained within the shales are one of the most important parameter of producible fluid oil and gas saturations of shales together with total organic carbon content. The S1 volumes can directly be obtained by Rock-Ev...

Development and evaluation of deep learning algorithms for assessment of acute burns and the need for surgery.

Scientific reports
Assessment of burn extent and depth are critical and require very specialized diagnosis. Automated image-based algorithms could assist in performing wound detection and classification. We aimed to develop two deep-learning algorithms that respectivel...